There's still time! Find the perfect Father's Day gift with store pickup | Shop NowThere's still time! Find the perfect Father's Day gift with store pickup | Shop Now
Add Item to wish listAdd Item to wish list

CK Metrics as a Software Fault-Proneness Predictor

By Sunil Sikka
eBook
$5.99
By Sunil Sikka
Membership Card Icon
Collect stamps to save with Rewards. 10 stamps = $5. Learn More
Formats
Select a store to view item availability.

Available on compatible , the free NOOK App, and in My Digital Library

NOOK App

Download NOOK app

NOOK Devices

NOOK eReaders

  • NOOK GlowLight 4 Plus
  • NOOK GlowLight 4e
  • NOOK GlowLight 4
  • NOOK GlowLight Plus 7.8"
  • NOOK GlowLight 3
  • NOOK GlowLight Plus 6"

NOOK Tablets

  • NOOK 9" Lenovo Tablet
  • NOOK 10" HD Lenovo Tablet
  • NOOK Tablet 7" & 10.1"
  • NOOK by Samsung Galaxy Tab 7.0 [Tab A and Tab 4]
  • NOOK by Samsung [Tab 4 10.1, S2 & E]

Free NOOK Reading Apps

  • NOOK for iOS
  • NOOK for Android

BN.com website

Go to your Digital Library in My Account

Limit 1 per customer

Predicting Fault-proneness of software modules is essential for cost-effective test planning. Fault-proneness could play a key role in quality control of software. Various studies have shown the importance of software metrics in predicting fault-proneness of the software. “Classic” set of metrics was planned by Chidamber and Kemerer in 1991. Chidamber and Kemerer (CK) metrics suite is the most widely used metrics suite for the purpose of object-oriented software fault-proneness prediction. ...

Categories

EducationEducation - General & MiscellaneousEducation - Miscellaneous Topics